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Proceedings Paper

Three dimensional breast masses autodetection in cone beam breast CT
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Paper Abstract

Cone Beam Breast CT (CBBCT) acquires 3D breast images without compression to the breast. More detailed and accurate information of breast lesions is revealed in CBBCT images. In our research, based on the observation that tumor masses are more concentrated than the surrounding tissues, we designed a weighted average filter and a threedimensional Iris filter to operate on the three-dimensional images. The basic process is: After weighted average filtering and iris filtering, a thresholding is applied to extract suspicious regions. Next, after morphological processing, suspicious regions are sorted based on their average Iris filter responses and the top 10 candidates are selected as detection results. The detection results are marked out and provided to radiologists as CAD system output. In our experiment, our method detects 12 mass locations out of 14 pathology-proven malignant clinical cases.

Paper Details

Date Published: 3 March 2009
PDF: 8 pages
Proc. SPIE 7260, Medical Imaging 2009: Computer-Aided Diagnosis, 726027 (3 March 2009); doi: 10.1117/12.813860
Show Author Affiliations
Xiaohua Zhang, Univ. of Rochester (United States)
Ruola Ning, Univ. of Rochester (United States)
Dong Yang, Univ. of Rochester (United States)


Published in SPIE Proceedings Vol. 7260:
Medical Imaging 2009: Computer-Aided Diagnosis
Nico Karssemeijer; Maryellen L. Giger, Editor(s)

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